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207

Apr 19, 2012
04/12

by
Susan Sontag

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Topics: Hamilton, William, Sir, 1730-1803 -- Fiction., Hamilton, Emma, Lady, 1761?-1815 -- Fiction.,...

221
221

Sep 18, 2013
09/13

by
Bhaskar DasGupta; Paola Vera-Licona; Eduardo Sontag

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The understanding of molecular cell biology requires insight into the structure and dynamics of networks that are made up of thousands of interacting molecules of DNA, RNA, proteins, metabolites, and other components. One of the central goals of systems biology is the unraveling of the as yet poorly characterized complex web of interactions among these components. This work is made harder by the fact that new species and interactions are continuously discovered in experimental work,...

Source: http://arxiv.org/abs/1102.4904v1

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95

Jul 20, 2013
07/13

by
Eduardo D. Sontag; Y. Qiao

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This paper studies controllability properties of recurrent neural networks. The new contributions are: (1) an extension of the result in the previous paper "Complete controllability of continuous-time recurrent neural networks" (Sontag and Sussmann) to a slightly different model, where inputs appear in an affine form, (2) a formulation and proof of a necessary and sufficient condition, in terms of local-local controllability, and (3) a complete analysis of the 2-dimensional case for...

Source: http://arxiv.org/abs/math/9902023v1

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11

Jun 28, 2018
06/18

by
Michael Margaliot; Eduardo D. Sontag; Tamir Tuller

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Contraction theory is a powerful tool for proving asymptotic properties of nonlinear dynamical systems including convergence to an attractor and entrainment to a periodic excitation. We consider three generalizations of contraction with respect to a norm that allow contraction to take place after small transients in time and/or amplitude. These generalized contractive systems (GCSs) are useful for several reasons. First, we show that there exist simple and checkable conditions guaranteeing that...

Topics: Dynamical Systems, Mathematics

Source: http://arxiv.org/abs/1506.06613

9
9.0

Feb 3, 2020
02/20

by
Sontag, Raymond James, 1897-1972

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425 pages

Topics: Politics and government, Diplomatie, Internationale Politik, Europe -- Politics -- 1871-1918,...

5
5.0

Oct 26, 2020
10/20

by
Sontag, Frederick

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227 pages ; 23 cm

Topics: Emotions (Philosophy) -- History, Rationalism -- History, Émotions (Philosophie) -- Histoire,...

In our very first episode, we introduce ourselves and our mission for this series. In the second half of the episode, we dive right in to discuss burnout and physician suicide.

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Sep 18, 2013
09/13

by
Eduardo Sontag; Alan Veliz-Cuba; Reinhard Laubenbacher; Abdul Salam Jarrah

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Feedback loops in a dynamic network play an important role in determining the dynamics of that network. Through a computational study, in this paper we show that networks with fewer independent negative feedback loops tend to exhibit more regular behavior than those with more negative loops. To be precise, we study the relationship between the number of independent feedback loops and the number and length of the limit cycles in the phase space of dynamic Boolean networks. We show that, as the...

Source: http://arxiv.org/abs/0707.3468v2

Physician loans are something all residents are at least somewhat exposed to after graduation. As medical students we voluntarily place ourselves in large amounts of debt in order to obtain medical degrees, is it worth it to push further into debt to own a home? In this episode we dive into the positives and drawbacks of physician loans.

In 2018, one of the most frustrating discussions that residents have with their attendings, their patients and even each other is regarding narcotic pain medication. It often feels like some attendings think one acetaminophen and a hand shake is plenty of pain medication, while others would give the same patient hydromorphone. RJ and I discuss strategies for treating patients' pain when America has a national problem with opioid abuse.

2
2.0

Jun 28, 2018
06/18

by
Rahul G. Krishnan; Simon Lacoste-Julien; David Sontag

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We introduce a globally-convergent algorithm for optimizing the tree-reweighted (TRW) variational objective over the marginal polytope. The algorithm is based on the conditional gradient method (Frank-Wolfe) and moves pseudomarginals within the marginal polytope through repeated maximum a posteriori (MAP) calls. This modular structure enables us to leverage black-box MAP solvers (both exact and approximate) for variational inference, and obtains more accurate results than tree-reweighted...

Topics: Statistics, Machine Learning, Mathematics, Learning, Optimization and Control, Computing Research...

Source: http://arxiv.org/abs/1511.02124

4
4.0

Jun 29, 2018
06/18

by
Shalmali Joshi; Suriya Gunasekar; David Sontag; Joydeep Ghosh

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This work proposes a new algorithm for automated and simultaneous phenotyping of multiple co-occurring medical conditions, also referred as comorbidities, using clinical notes from the electronic health records (EHRs). A basic latent factor estimation technique of non-negative matrix factorization (NMF) is augmented with domain specific constraints to obtain sparse latent factors that are anchored to a fixed set of chronic conditions. The proposed anchoring mechanism ensures a one-to-one...

Topics: Machine Learning, Learning, Computing Research Repository, Statistics

Source: http://arxiv.org/abs/1608.00704

3
3.0

Jun 29, 2018
06/18

by
Yacine Jernite; Anna Choromanska; David Sontag

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We consider multi-class classification where the predictor has a hierarchical structure that allows for a very large number of labels both at train and test time. The predictive power of such models can heavily depend on the structure of the tree, and although past work showed how to learn the tree structure, it expected that the feature vectors remained static. We provide a novel algorithm to simultaneously perform representation learning for the input data and learning of the hierarchi- cal...

Topics: Machine Learning, Learning, Computation and Language, Computing Research Repository, Statistics

Source: http://arxiv.org/abs/1610.04658

2
2.0

Jun 30, 2018
06/18

by
Eduardo D. Sontag; Michael Margaliot; Tamir Tuller

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We introduce three forms of generalized contraction (GC). Roughly speaking, these are motivated by allowing contraction to take place after small transients in time and/or amplitude. Indeed, contraction is usually used to prove asymptotic properties, like convergence to an attractor or entrainment to a periodic excitation, and allowing initial transients does not affect this asymptotic behavior. We provide sufficient conditions for GC, and demonstrate their usefulness using examples of systems...

Topics: Mathematics, Dynamical Systems

Source: http://arxiv.org/abs/1406.1474

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Mar 1, 2012
03/12

by
Sontag, Susan, 1933-2004

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Topics: Hamilton, William, Sir, 1730-1803, Hamilton, Emma, Lady, 1761?-1815, Nelson, Horatio Nelson,...

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Jun 28, 2018
06/18

by
Yoon Kim; Yacine Jernite; David Sontag; Alexander M. Rush

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We describe a simple neural language model that relies only on character-level inputs. Predictions are still made at the word-level. Our model employs a convolutional neural network (CNN) and a highway network over characters, whose output is given to a long short-term memory (LSTM) recurrent neural network language model (RNN-LM). On the English Penn Treebank the model is on par with the existing state-of-the-art despite having 60% fewer parameters. On languages with rich morphology (Arabic,...

Topics: Computation and Language, Statistics, Computing Research Repository, Machine Learning, Neural and...

Source: http://arxiv.org/abs/1508.06615

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Jan 4, 2012
01/12

by
Sass, Lauren R., 1953-; Sontag, Debbie, 1956-; Facts on File, inc., New York

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Includes index

Topics: Television broadcasting, Television broadcasting

2
2.0

Jun 29, 2018
06/18

by
Yoni Halpern; Steven Horng; David Sontag

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We describe a method for parameter estimation in bipartite probabilistic graphical models for joint prediction of clinical conditions from the electronic medical record. The method does not rely on the availability of gold-standard labels, but rather uses noisy labels, called anchors, for learning. We provide a likelihood-based objective and a moments-based initialization that are effective at learning the model parameters. The learned model is evaluated in a task of assigning a heldout...

Topics: Machine Learning, Learning, Computing Research Repository, Statistics

Source: http://arxiv.org/abs/1608.00686

2
2.0

Jun 28, 2018
06/18

by
Yoni Halpern; Steven Horng; David Sontag

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We present a semi-supervised learning algorithm for learning discrete factor analysis models with arbitrary structure on the latent variables. Our algorithm assumes that every latent variable has an "anchor", an observed variable with only that latent variable as its parent. Given such anchors, we show that it is possible to consistently recover moments of the latent variables and use these moments to learn complete models. We also introduce a new technique for improving the...

Topics: Statistics, Learning, Machine Learning, Computing Research Repository

Source: http://arxiv.org/abs/1511.03299

The metadata below describe the original scanning. Follow the "All Files: HTTP" link in the "View the book" box to the left to find XML files that contain more metadata about the original images and the derived formats (OCR results, PDF etc.). See also the What is the directory structure for the texts? FAQ for information about file content and naming conventions.

Topic: Incubators

"Should Phi Delta Kappa Be the Instrument?" is an article from The Phi Delta Kappan, Volume 2 . View more articles from The Phi Delta Kappan . View this article on JSTOR . View this article's JSTOR metadata . You may also retrieve all of this items metadata in JSON at the following URL: https://archive.org/metadata/jstor-20257190

Source: http://www.jstor.org/stable/10.2307/20257190

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35

Sep 18, 2013
09/13

by
Madalena Chaves; Eduardo D. Sontag; Reka Albert

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As a discrete approach to genetic regulatory networks, Boolean models provide an essential qualitative description of the structure of interactions among genes and proteins. Boolean models generally assume only two possible states (expressed or not expressed) for each gene or protein in the network as well as a high level of synchronization among the various regulatory processes. In this paper, we discuss and compare two possible methods of adapting qualitative models to incorporate the...

Source: http://arxiv.org/abs/q-bio/0605004v1

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42

Sep 20, 2013
09/13

by
Eduardo D. Sontag

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This paper (parts I and II) provides an expository introduction to monotone and near-monotone dynamical systems associated to biochemical networks, those whose graphs are consistent or near-consistent. Many conclusions can be drawn from signed network structure, associated to purely stoichiometric information and ignoring fluxes. In particular, monotone systems respond in a predictable fashion to perturbations and have robust and ordered dynamical characteristics, making them reliable...

Source: http://arxiv.org/abs/q-bio/0612032v1

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Sep 22, 2013
09/13

by
Boris N. Kholodenko; Eduardo D. Sontag

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In many applications, such as those arising from the field of cellular networks, it is often desired to determine the interaction (graph) structure of a set of differential equations, using as data measured sensitivities. This note proposes an approach to this problem.

Source: http://arxiv.org/abs/physics/0205003v1

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Sep 18, 2013
09/13

by
David Angeli; Eduardo D. Sontag

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We extend the setup in our previous paper to deal with the case in which more than one steady state may exist in feedback configurations. This provides a foundation for the analysis of multi-stability and hysteresis behaviour in high dimensional feedback systems.

Source: http://arxiv.org/abs/math/0212357v1

3
3.0

Mar 31, 2020
03/20

by
Cristiano Sontag

Músico, compositor e professor. No meu podcast você pode ouvir conteúdos exclusivos para você aprender e praticar canto onde você estiver!! Archived from iTunes at https://itunes.apple.com/us/podcast/canto-popular-com-cristiano-sonntag/id1451420361. Items in this collection are restricted.

Topics: podcast, itunes, apple

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39

Jun 2, 2014
06/14

by
Sontag, Susan, 1933-

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Originally published, New York , Farrar, Straus, 1963 London , Eyre & Spottiswoode, 1964

Topic: Fiction in English American writers 1945- Texts

2
2.0

Jun 29, 2018
06/18

by
Eduardo D. Sontag

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We review in a unified way results for two types of stochastic chemical reaction systems for which moments can be effectively computed: feedforward networks and complex-balanced networks.

Topics: Optimization and Control, Mathematics

Source: http://arxiv.org/abs/1612.02393

2
2.0

Jun 30, 2018
06/18

by
Amir Globerson; Tim Roughgarden; David Sontag; Cafer Yildirim

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Structured prediction tasks in machine learning involve the simultaneous prediction of multiple labels. This is typically done by maximizing a score function on the space of labels, which decomposes as a sum of pairwise elements, each depending on two specific labels. Intuitively, the more pairwise terms are used, the better the expected accuracy. However, there is currently no theoretical account of this intuition. This paper takes a significant step in this direction. We formulate the problem...

Topics: Machine Learning, Computing Research Repository, Data Structures and Algorithms, Learning,...

Source: http://arxiv.org/abs/1409.5834

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47

Sep 21, 2013
09/13

by
Madalena Chaves; Eduardo D. Sontag; Robert J. Dinerstein

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Weakly activated signaling cascades can be modeled as linear systems. The input-to-output transfer function and the internal gain of a linear system, provide natural measures for the propagation of the input signal down the cascade and for the characterization of the final outcome. The most efficient design of a cascade for generating sharp signals, is obtained by choosing all the off rates equal, and a ``universal'' finite optimal length.

Source: http://arxiv.org/abs/math/0311357v1

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20

Mar 15, 2019
03/19

by
Sontag, Susan, 1933-

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3
3.0

Jul 25, 2019
07/19

by
Serena Sontag

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Daniel Paasch, Gründer und Leiter des Institut für Potenzialentfaltung (IPE) ist Kinder- und Jugendcoach, Potenzialtrainer und Lehrtrainer aus Leidenschaft Mit seiner kraftvollen Metaphorik, seinem Ausdruck des Gelingens und seiner positiven, motivierenden und kreativen Art ist er ein Vorbild vieler Wegbegleiter von Kindern und Jugendlichen. Er spricht die Sprache der Potenzialentfaltung meisterlich und durch seine Worte kann MAN (auf jeden Fall ich ), sein Herz sprechen hören. Was hörst...

3
3.0

Jul 25, 2019
07/19

by
Serena Sontag

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Erfolge des Tages - Kraftfutter für Dein Unterbewusstsein! Könntest Du jetzt sofort von Deinen Erfolgen der letzten Woche, von gestern oder heute berichten? Oder fällt es Dir leichter, zu erzählen, was in der letzten Zeit nicht so gut gelaufen ist? Ob Erfolg oder Misserfolg - auf beides können wir achten, müssen wir aber nicht. Deshalb geht es im Erfolgebuch NUR um positive Erlebnisse, die in der Geschwindigkeit des Alltags schnell untergehen. Was Dein Unterbewusstsein damit zu tun hat,...

3
3.0

Jun 29, 2018
06/18

by
Fredrik D. Johansson; Uri Shalit; David Sontag

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Observational studies are rising in importance due to the widespread accumulation of data in fields such as healthcare, education, employment and ecology. We consider the task of answering counterfactual questions such as, "Would this patient have lower blood sugar had she received a different medication?". We propose a new algorithmic framework for counterfactual inference which brings together ideas from domain adaptation and representation learning. In addition to a theoretical...

Topics: Machine Learning, Learning, Artificial Intelligence, Computing Research Repository, Statistics

Source: http://arxiv.org/abs/1605.03661

2
2.0

Jun 30, 2018
06/18

by
John P. Barton; Eduardo D. Sontag

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The connection between optimal biological function and energy use, measured for example by the rate of metabolite consumption, is a current topic of interest in the systems biology literature which has been explored in several different contexts. In [J. P. Barton and E. D. Sontag, Biophys. J. 104, 6 (2013)], we related the metabolic cost of enzymatic futile cycles with their capacity to act as insulators which facilitate modular interconnections in biochemical networks. There we analyzed a...

Topics: Molecular Networks, Quantitative Biology

Source: http://arxiv.org/abs/1412.8065

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55

Sep 19, 2013
09/13

by
Mikhail Krichman; Eduardo D. Sontag; Yuan Wang

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This work explores Lyapunov characterizations of the input-output-to-state stability (IOSS) property for nonlinear systems. The notion of IOSS is a natural generalization of the standard zero-detectability property used in the linear case. The main contribution of this work is to establish a complete equivalence between the input-output-to-state stability property and the existence of a certain type of smooth Lyapunov function. As corollaries, one shows the existence of ``norm-estimators'', and...

Source: http://arxiv.org/abs/math/9911233v1

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34

Sep 22, 2013
09/13

by
Eduardo D. Sontag

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Given a set of differential equations whose description involves unknown parameters, such as reaction constants in chemical kinetics, and supposing that one may at any time measure the values of some of the variables and possibly apply external inputs to help excite the system, how many experiments are sufficient in order to obtain all the information that is potentially available about the parameters? This paper shows that the best possible answer (assuming exact measurements) is 2r+1...

Source: http://arxiv.org/abs/math/0111135v2

National Institutes of Health Library

51
51

May 9, 2016
05/16

by
Sontag, James M., 1939-; Page, Norbert P; Saffiotti, Umberto; National Cancer Institute (U.S.)

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"NCI-CG-TR-1"

Topics: Biological assay, Carcinogens

Quais são os passos que devo seguir para cantar bem de verdade? A principal proposta é clarear o caminho para que você possa desenvolver técnica e musicalidade e assim, se tornar um bom cantor e conquistar sua "independência." - Inscreva-se e participe das AULAS AO VIVO: http://www.cristianosonntag.com.br/aovivo Fique à vontade para me seguir nas redes sociais: 👍 Facebook: http://facebook.com/cristianosonntag 📷 Instagram: http://instagram.com/cristianosonntag 🐤 Twitter:...

4
4.0

Jul 25, 2019
07/19

by
Serena Sontag

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Schwächen in Stärken verwandeln! Ärgerst Du Dich über Deine Schwächen und willst sie ändern? Geht das überhaupt? Nimm Deine (Un)Fähigkeiten unter die Lupe und lerne, sie zu verstehen und Dich und Andere zu loben. Viel Spaß beim Hören und Mitmachen! Zettel und Stift bereit legen oder später einfach nochmal hören Deine Serena Herausgeberin podcast.kidspotentialclub.de www.kidspotentialclub.de

6
6.0

Dec 28, 2019
12/19

by
Sontag, Susan

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comment 0

1
1.0

Sep 11, 2020
09/20

by
Sontag, Susan 1933-2004 Verfasser

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548 S. 21 cm

Topics: Hamilton, Emma 1765-1815, Hamilton, William 1730-1803, Nelson, Horatio 1758-1805, Hamilton, Emma,...

During this short conversational episode we take a step back from our usual strategy in covering topics and give a few updates on how the two of us are adjusting to life as a resident. We discuss difficult conversations with parents in pediatric patients. We compare and contrast how various residencies incorporate wellness strategies into the lives of their residents. And we give our perspectives on intern year so far.

This month's episode allows RJ to take a deep dive into his true passion, health care policy. Coop breaks down the history of health insurance. The ACA changed the health care landscape for the entire county and we examine how insurance trends affect doctors and our patients.

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Sep 18, 2013
09/13

by
Liming Wang; Eduardo D. Sontag

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The multisite phosphorylation-dephosphorylation cycle is a motif repeatedly used in cell signaling. This motif itself can generate a variety of dynamic behaviors like bistability and ultrasensitivity without direct positive feedbacks. In this paper, we study the number of positive steady states of a general multisite phosphorylation-dephosphorylation cycle, and how the number of positive steady states varies by changing the biological parameters. We show analytically that (1) for some parameter...

Source: http://arxiv.org/abs/0704.0036v2

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63

Sep 18, 2013
09/13

by
Eduardo D Sontag

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This paper deals with the theory of structure, stability, robustness, and stabilization for an appealing class of nonlinear systems which arises in the analysis of chemical networks. The results given here extend, but are also heavily based upon, certain previous work by Feinberg, Horn, and Jackson, of which a self-contained and streamlined exposition is included. The theoretical conclusions are illustrated through an application to the kinetic proofreading model proposed by McKeithan for...

Source: http://arxiv.org/abs/math/0002113v2

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35

Sep 19, 2013
09/13

by
Brian P. Ingalls; Eduardo D. Sontag; Yuan Wang

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The fundamental Filippov-Wazwski Relaxation Theorem states that the solution set of an initial value problem for a locally Lipschitz inclusion is dense in the solution set of the same initial value problem for the corresponding relaxation inclusion on compact intervals. In our recent work, a complementary result was provided for inclusions with finite dimensional state spaces which says that the approximation can be carried out over non-compact or infinite intervals provided one does not insist...

Source: http://arxiv.org/abs/math/0206251v1

4
4.0

Jun 30, 2018
06/18

by
Hung Hai Bui; Tuyen N. Huynh; David Sontag

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We analyze variational inference for highly symmetric graphical models such as those arising from first-order probabilistic models. We first show that for these graphical models, the tree-reweighted variational objective lends itself to a compact lifted formulation which can be solved much more efficiently than the standard TRW formulation for the ground graphical model. Compared to earlier work on lifted belief propagation, our formulation leads to a convex optimization problem for lifted...

Topics: Machine Learning, Computing Research Repository, Statistics, Artificial Intelligence

Source: http://arxiv.org/abs/1406.4200

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41

Jul 21, 2011
07/11

by
Sontag, Frederick; Roth, John K., joint author

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Sorry for the late post, RJ and I were on our first ICU rotations last month. Much to RJ's dismay, this episode takes just a slightly clinical turn and discusses how much or how little we should be using clinical decision tools everyday on shift. We are pimped on these rules and asked them on board exams, but do these tools actually correlate to improved outcomes for patients?